Enables AI assistants to deterministically render accurate 2D organic chemistry structures, reactions, mechanisms, resonance contributors, and stereochemistry directly in chat, with curated JEE presets and fallback resolution.
Provides an MCP interface for publication-quality chemical structure and reaction rendering from SMILES/InChI/molblock, with validation and name parsing. Enables AI agents to draw molecules and reactions as images.
Enables chemical reaction predictions (retrosynthesis, product, reagents), molecule validation, and property calculation through the Model Context Protocol, integrating with AI assistants.
Enables LLM agents to draw and edit ChemDraw reaction schemes, parse ELN exports and LCMS/NMR data, and generate publication-ready CDXML files through grounded chemistry tools.
Provides in-process RDKit cheminformatics operations — descriptors, fingerprints, similarity and substructure search, reaction enumeration, standardization, and 3D conformer generation — for AI agents.
Renders interactive 2D molecular structure diagrams from SMILES notation and computes molecular properties like molecular weight, LogP, and TPSA, directly in the chat.
